Cloud Engineer II -AI
Core
Architecting and delivering enterprise-scale AI/ML and Generative AI cloud platforms, including infrastructure, governance, and MLOps pipelines.
Role type
Senior IC Cloud AI Engineer (GenAI/MLOps)
Builds
Multi-cloud AI infrastructure, Kubernetes-based self-service environments, and production-grade MLOps/LLMOps pipelines.
Domain
Cloud computing, Artificial Intelligence, Machine Learning, Generative AI
Deliverable
production ML models | infrastructure
Required skills
Cloud architecture (AWS, Azure, GCP), GenAI frameworks (LangChain, CrewAI, LlamaIndex), Kubernetes, MLOps/LLMOps, Python scripting, RAG pipeline design, LLM deployment and optimization
Preferred skills
Microsoft Foundry experience
Technologies
AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, LangChain, CrewAI, LlamaIndex, Semantic Kernel, OpenAI-compatible APIs
Responsibilities
Architect enterprise-scale AI/ML infrastructure across multi-cloud environments; Lead design of cloud infrastructure standards and security controls; Design scalable Kubernetes-based platforms for ML teams; Architect Generative AI, RAG, and vector database solutions; Build and manage production-grade MLOps and LLMOps pipelines; Design cloud-native solutions using containerization and GPU-based compute.
Seniority
Senior, hands-on IC